Principal Engineer, Big Data Platform

This role focuses on leading the design and development of LinkedIn's data infrastructure, tackling challenges in scalability, reliability, and performance. The engineer will work with large-scale distributed systems and big data technologies to support LinkedIn's data-driven products and services.

This principal-level role leads data engineering efforts, architecting scalable data systems and mentoring engineers. It requires deep expertise in distributed systems, big data technologies, and cloud infrastructure.

This role is a principal-level data engineering position focused on building and scaling the Databricks and AI platform. The engineer will design and implement data pipelines, optimize data architecture, and enable advanced analytics and machine learning capabilities.

Develops and implements test procedures for autonomous sidewalk delivery robots, focusing on hardware-in-the-loop testing, automation, and quality assurance to ensure reliable manufacturing and scale production.

This Lead Digital Producer role owns end-to-end production for Pinterest's business-facing web ecosystem, including the Business Site, campaign experiences, and event platforms. The role involves translating strategy into production plans, evaluating platforms and vendors, and managing cross-functional teams across Design, Engineering, and Marketing. Requires strong technical fluency and operational discipline to lead complex digital launches.

This Brand Partnerships Manager role leads the rollout of Pinterest's Advertiser Co-Marketing Brand Toolkit across France, Germany, and the Netherlands, working with the Global Sales Organisation to qualify and deliver co-marketing opportunities. The role involves creating market-ready guidance, training internal teams and agency partners, and ensuring brand standards are upheld while driving commercial revenue. Requires fluency in French and English.

This Staff Machine Learning Engineer role focuses on advancing Pinterest's recommendation research through agentic AI, specifically the Reflex project. The engineer will build LLM agents that automate hypothesis generation, implementation, and experimentation, and contribute to generative retrieval with Semantic IDs. This is a hands-on technical leadership role requiring deep ML fundamentals and experience building production systems.